Issues and approaches of automatic focusing algorithms for intelligent robot eye‐in‐hand system

摘要

Abstract The new, fast, automatic focusing algorithms, namely Energy Maximization and Histogram Variance Maximization, for computer vision systems have been presented in this article. These two focusing algorithms have greatly reduced the arithmetical operations needed to perform an automatic focusing operation. Experimental evaluations and comparisons to previously developed algorithms have been performed and the results presented. The improved performance in accuracy and speed of our new algorithms will certainly benefit applications such as distance measurement, target tracking, and scene analysis by the use of computer vision techniques.